## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector, coercing into character vector
## 
## Assigned RegType
## inferWeightsCross.py
## readDataDistCrossGPUFreeMomentumEarlyStop.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevereAnnealAllCorpora.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevereAnnealAllCorporaOnlyLexRestrNP.py
## inferWeightsCrossVariationalAllCorpora.py
## readDataGradientsWordSurp.py
## readDataDistEnglishGPUOnlyDependencyLabelNoPred.py
## readDataDistEnglishGPUFreeUIDCorrectMean.py
## readDataDistCrossLGPUDepLengthMomentumEntropyUnbiasedBaseline.py
## readDataDistEnglishGPUFreeMomentum.py
## readDataDistCrossLCPUDepLengthMomentum.py
## readDataDistCrossGPUFreeMomentum.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevere.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropy.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevereAnneal.py
## readDataDistCrossLGPUDepLengthMomentumEntropy.py
## readDataGradientsDepL.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevereAnnealAllCorporaOnlyLex.py
## readDataDistEnglishGPUFreeUIDLagrangeRelaxPrimalDualPOS.py
## readDataDistEnglishGPUFreeParsingUnbiased.py
## readDataDistCrossLGPUDepLengthMomentum.py
## readDataDistEnglishGPUFreeParsingUnidir.py
## readDataDistEnglishGPUFreeUID.py
## readDataDistCrossLGPUDepLengthMomentumEntropyPlainBaseline.py
## inferWeightsCrossVariational.py
## readDataDistEnglishGPUFreeUIDCorrectMeanAllCorporaRate.py
## inferWeightsForEnglish.py
## readDataDistEnglishGPUDepLength.py
## readDataDistEnglishGPUFreeUIDLagrangeRelax.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyLR.py
## readDataDistEnglishGPUFreeUIDLagrangeRelaxPrimalDual.py
## readDataDistEnglishGPUFreeParsingUnbiasedEntropy.py
## readDataRegressionDepLengthAndSurprisalRandomEffects.py
## readDataDistEnglishGPUFreeUIDCorrectMeanAllCorpora.py
## readDataDistCrossGPUFreeMomentumEarlyStopEntropyPersevereAnnealSmallVocab.py
## readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandIntercept.py
## readDataDistCrossGPUFreeMomentumEarlyStopGaussianPersevere.py
## readDataGradientsUIDs.py
## Take into account (1) log variances, (2) UID rate vs UID TODO do same with other variances and SigmasALSO take into account depLogLengthWhere is Norwegian surprisal data???

Ordering Rules Controlling for Different Metrics

Distance Logits

dependencies whose weights are `significant’ according to only maximum-likelihood

Ordered by the quotient of t-values

dependencies whose weights are `significant’ according to only controlled model

##                                                                                                                           ModelName
## 1              readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 2  readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaLogVarRateUIDDepLBugfix_LogExp.py
## 3              readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 4              readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 5              readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 6       readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 7              readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 8       readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 9       readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 10      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 11             readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 12 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaLogVarRateUIDDepLBugfix_LogExp.py
## 13                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 14             readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 15             readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 16        readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaLogVarRateUIDDepLBugfix.py
## 17      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 18      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 19        readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaLogVarDepLBugfix_LogExp.py
## 20                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 21             readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 22                readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix.py
## 23      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 24      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 25                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 26                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 27                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 28                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 29                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 30        readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogVar_Tight_Guide.py
## 31                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 32      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 33      readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaDepLOnly_Bugfix_LogExpVar.py
## 34             readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurpWord_LogExpVar.py
## 35                 readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaSurp_LogExpVar.py
## 36        readDataRegressionDepLengthAndSurprisalRandomEffectsVariationalUIDRandInterceptSlopesAllCorporaLogVarDepLBugfix_LogExp.py
##       RegType Language Head Dependency Dependent Distance_t Real_Distance_t
## 1    SurpWord  Spanish VERB        obl      NOUN -12.800028      -0.5994617
## 2  DL+Surp+ID  Spanish VERB        obl      NOUN -10.832823      -0.5994617
## 3    SurpWord    Czech NOUN        cop       AUX  -7.936591      -0.3307993
## 4    SurpWord  Spanish VERB        obl     PROPN  -6.639079      -0.7654581
## 5    SurpWord    Czech  ADJ      nsubj      NOUN  -6.432013       0.7912353
## 6        DepL   Korean VERB     advmod      NOUN  -6.120599       0.1360280
## 7    SurpWord    Czech VERB      nsubj       DET  -5.895096      -0.7201864
## 8        DepL  English VERB      ccomp      VERB  -5.595477       0.4827976
## 9        DepL  English VERB        obl      NOUN  -5.401329       0.4061816
## 10       DepL  Spanish VERB        obl      NOUN  -5.209353      -0.5994617
## 11   SurpWord  Spanish NOUN        cop       AUX  -5.192801      -0.3144620
## 12 DL+Surp+ID  Spanish VERB        obl     PROPN  -5.147982      -0.7654581
## 13       Surp  Russian  ADJ        obl       ADV  -4.554511      -0.5259219
## 14   SurpWord  Russian  ADJ        obl       ADV  -4.146271      -0.5259219
## 15   SurpWord    Czech  ADJ nsubj:pass      NOUN  -4.119334      -0.9294315
## 16 DL+Surp+ID  Spanish VERB        obl      NOUN  -4.108575      -0.5994617
## 17       DepL  Spanish VERB        obl     PROPN  -4.038629      -0.7654581
## 18       DepL Japanese  NUM       case       ADP   4.155957      -0.4670624
## 19 DL+Surp+ID  Russian NOUN  discourse      PART   4.523942       0.8298631
## 20       Surp  Russian NOUN  discourse      PART   4.770248       0.8298631
## 21   SurpWord  Russian NOUN  discourse      PART   4.830353       0.8298631
## 22       DepL Japanese NOUN      punct     PUNCT   4.849074      -0.9390586
## 23       DepL   Korean  ADJ      punct     PUNCT   5.026448      -0.4526454
## 24       DepL Japanese NOUN      punct     PUNCT   6.486710      -0.9390586
## 25       Surp Japanese NOUN      punct     PUNCT   7.362157      -0.9390586
## 26       Surp Japanese  NUM       case       ADP   7.516206      -0.4670624
## 27       Surp Japanese NOUN      punct     PUNCT   7.559795      -0.9390586
## 28       Surp Japanese  NUM       case       ADP   7.741034      -0.4670624
## 29       Surp Japanese  NUM       case       ADP   7.843881      -0.4670624
## 30       Surp  Russian NOUN       case       ADP   8.208778       0.4596123
## 31       Surp Japanese NOUN      punct     PUNCT   8.563088      -0.9390586
## 32       DepL  Russian NOUN       case       ADP   9.758067       0.4596123
## 33       DepL   Korean VERB      punct     PUNCT  15.158305      -0.5258701
## 34   SurpWord  Russian NOUN       case       ADP  27.447277       0.4596123
## 35       Surp  Russian NOUN       case       ADP  31.595398       0.4596123
## 36 DL+Surp+ID  Russian NOUN       case       ADP  34.183023       0.4596123

dependencies whose weights are more `significant’ according to controlled model

Ordered by the quotient of t-values (opposite)

Direction Logits